gptj-supervised-summarize-checkpoint – AI Model by li-jay-cs | AlphaNeural AI

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li-jay-cs/
gptj-supervised-summarize-checkpoint

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text-generation

generated_from_trainer

li-jay-cs/gptj-supervised-summarize-checkpoint

autotrain_compatible

text-generation-inference

endpoints_compatible

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gptj-supervised-summarize-checkpoint

This model is a fine-tuned version of li-jay-cs/gptj-supervised-summarize-checkpoint on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8506
Rouge1: 0.5938
Rouge2: 0.1912
Rougel: 0.3937
Rougelsum: 0.5184

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 50
eval_batch_size: 50
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
1.904	0.43	1000	1.8633	0.5912	0.1888	0.3913	0.5149
1.8931	0.86	2000	1.8584	0.5907	0.1890	0.3920	0.5153
1.8758	1.28	3000	1.8545	0.5929	0.1906	0.3929	0.5168
1.8699	1.71	4000	1.8506	0.5938	0.1912	0.3937	0.5184

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1